Litcius/Paper detail

Humanoid Loco-Manipulations Pattern Generation and Stabilization Control

Masaki Murooka, Kévin Chappellet, Arnaud Tanguy, Mehdi Benallegue, Iori Kumagai, Mitsuharu Morisawa, Fumio Kanehiro, Abderrahmane Kheddar

2021IEEE Robotics and Automation Letters23 citationsDOIOpen Access PDF

Abstract

In order for a humanoid robot to perform loco-manipulation such as moving an object while walking, it is necessary to account for sustained or alternating external forces other than ground-feet reaction, resulting from humanoid-object contact interactions. In this letter, we propose a bipedal control strategy for humanoid loco-manipulation that can cope with such external forces. First, the basic formulas of the bipedal dynamics, i.e., linear inverted pendulum mode and divergent component of motion, are derived, taking into account the effects of external manipulation forces. Then, we propose a pattern generator to plan center of mass trajectories consistent with the reference trajectory of the manipulation forces, and a stabilizer to compensate for the error between desired and actual manipulation forces. The effectiveness of our controller is assessed both in simulation and loco-manipulation experiments with real humanoid robots.

Topics & Concepts

Humanoid robotInverted pendulumControl theory (sociology)TrajectoryController (irrigation)Computer scienceDigital pattern generatorGround reaction forceGenerator (circuit theory)Object (grammar)RobotSimulationControl engineeringControl (management)Artificial intelligenceEngineeringNonlinear systemPhysicsKinematicsClassical mechanicsPower (physics)AstronomyQuantum mechanicsChipBiologyAgronomyTelecommunicationsRobotic Locomotion and ControlProsthetics and Rehabilitation RoboticsRobot Manipulation and Learning